Maiximum Likelihood Estimation of Source Locations Using the EM-Algorithm.
Dieter KrausChristoph H. GierullJohann F. BöhmePublished in: ASST (1990)
Keyphrases
- em algorithm
- log likelihood function
- maximum likelihood
- maximum likelihood estimation
- parameter estimation
- likelihood function
- expectation maximization
- mixture model
- maximum likelihood estimates
- log likelihood
- density estimation
- gaussian mixture model
- generative model
- free energy
- gaussian mixture
- expectation maximisation
- hidden variables
- map estimation
- maximum a posteriori
- mixture of gaussians
- hyperparameters
- incomplete data
- model based clustering
- likelihood maximization
- penalized likelihood
- gradient method
- finite mixture model
- update equations
- parameter learning
- probability density function
- bayesian framework
- gaussian process
- mixture distribution
- covariance matrix
- unsupervised learning
- probability distribution
- probabilistic model
- image sequences